This study uses Nihommatsu city and Mimanisoma City as case studies. The two cities are 70km and 30km from Fukushima Daichi Plant respectively.
NB:Important Notes from the Nuclear Regulation Authority onJAEA website Purposes of this vehicle survey were: 1. To ascertain the tendency and cause of time change of air dose rates by comparing past vehicle survey data and survey meter data at the height of 1 m above ground as well as “walk survey” data, and 2. To contribute to the establishment of radioactive substances distribution prediction model. MEXT evaluated the decrease in the air dose rates caused by the decay of cesium during the survey period and it was around 1%, which was smaller than the errors of measuring instruments source
Change to machine readeable column names
names(niho) <- c("gridcode","pref","city","gridCenterNorthlat","gridCenterEastlng","gridCenterNorthlatDec",
"gridCenterEastlngDec","daichi_distance","no_samples","AvgAirDoseRate",
"NE_nLat","NE_eLong","NW_nLat","NW_eLong",
"SW_nLat","SW_eLong","SE_nLat","SE_eLong")
names(niho2013) <- c("gridcode","pref","city","gridCenterNorthlat","gridCenterEastlng","gridCenterNorthlatDec",
"gridCenterEastlngDec","daichi_distance","no_samples","AvgAirDoseRate",
"NE_nLat","NE_eLong","NW_nLat","NW_eLong",
"SW_nLat","SW_eLong","SE_nLat","SE_eLong")
#Strip Nihommatsu city,
niho$city[niho$city == "Nihommatsu city"] <- "nihommatsu"
niho2013$city[niho2013$city == "Nihommatsu city"] <- "nihommatsu"
filter nihomatsu dataset
Create air dose quantiles that are plot-able,6 categorical variables.
Visible reduction of Average Air Dose Distribution by half in Nihomatsu. Trouble is knowing the distribution of causes of this reduction?
plot(nihom2013$AvgAirDoseRate,niho_q$AvgAirDoseRate)
iro <- colorFactor(
palette = "YlOrRd",
domain = niho_q$dose_quants
)
iro2013 <- colorFactor(
palette = "YlOrRd",
domain = nihom2013_q$dose_quants
)
# Link of Daichi
fukulink <- paste(sep = "<br/>",
"<br><a href='http://www.tepco.co.jp/en/decommision/index-e.html'>Fukushima Daichi</a></b>",
"Source of radiations"
)
niho_plot <- leaflet() %>%
addTiles()%>%
addRectangles(data = niho_q,lng1 = ~SW_eLong, lat1 = ~SW_nLat,lng2 = ~NE_eLong, lat2 = ~NE_nLat,
color = ~iro(niho_q$dose_quants))%>%
addLegend("bottomright", pal = iro, values = niho_q$dose_quants,
title = "AvgAirDoseRates",
labFormat = labelFormat(prefix = "µSv/h "),
opacity = 1)%>%
addPopups(lat = 37.4211, lng = 141.0328,popup = fukulink,
options = popupOptions(closeButton = TRUE))
niho_plot
niho2013_plot <- leaflet() %>%
addTiles()%>%
addRectangles(data = nihom2013_q,lng1 = ~SW_eLong, lat1 = ~SW_nLat,lng2 = ~NE_eLong, lat2 = ~NE_nLat,
color = ~iro2013(nihom2013_q$dose_quants))%>%
addLegend("bottomright", pal = iro2013, values = nihom2013_q$dose_quants,
title = "AvgAirDoseRates",
labFormat = labelFormat(prefix = "µSv/h "),
opacity = 1)%>%
addPopups(lat = 37.4211, lng = 141.0328,popup = fukulink,
options = popupOptions(closeButton = TRUE))
niho2013_plot
ggplot(niho_q, aes(daichi_distance,AvgAirDoseRate)) +
geom_point() +
geom_smooth(se = FALSE)+
ggtitle("AvgAirDose against Distance to Daichi Plant")
Repeat above visualization from a different view
ggplot(data = niho_q) +
geom_bar(mapping = aes(x = daichi_distance, fill = dose_quants), width = 1)+
ggtitle("AvgAirDose Measured Counts against Daichi Distance")
mina <- read_csv("niho.csv")
dim(mina)
## [1] 45273 18
# View(mina)
#Select Minamisoma City only
mina$city[mina$city == "Minamisoma city"] <- "minamisoma"
#filter nihomatsu observations only
mina <- subset(mina, city == "minamisoma")
dim(mina)
## [1] 1985 18
summary(mina$AvgAirDoseRate)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 0.210 0.520 0.780 1.771 1.800 18.000
#plot(mina$AvgAirDoseRate)
mina_q <- mina %>%
mutate(mina_quants = cut2(mina$AvgAirDoseRate,cuts=seq(0.2,20,2.2),levels.mean=TRUE))
## View(mina_q)
mina_q <- na.omit(mina_q)
write_csv(mina_q, path = "mina_q.csv")
mina_iro <- colorFactor(
palette = "Set1",
domain = mina_q$mina_quants
)
mina_plot <- leaflet() %>%
addTiles()%>%
addRectangles(data = mina_q,lng1 = ~SW_eLong, lat1 = ~SW_nLat,lng2 = ~NE_eLong, lat2 = ~NE_nLat,
color = ~mina_iro(mina_q$mina_quants))%>%
addLegend("bottomright", pal = mina_iro, values = mina_q$mina_quants,
title = "AvgAirDoseRates",
labFormat = labelFormat(prefix = "µSv/h "),
opacity = 1)%>%
addPopups(lat = 37.4211, lng = 141.0328,popup = fukulink,
options = popupOptions(closeButton = TRUE))
mina_plot
ggplot(mina_q, aes(daichi_distance,AvgAirDoseRate)) +
geom_point() +
geom_smooth(se = FALSE)+
ggtitle("AvgAirDose against Distance to Daichi Plant")
ggplot(data = mina_q) +
geom_bar(mapping = aes(x = daichi_distance, fill = mina_quants), width = 1)+
ggtitle("AvgAirDose Measured Counts against Daichi Distance")
to be continued